Multiobjective evolutionary optimization of substation maintenance using decision-varying Markov model

被引：43
|
作者：
Yang, F. [1 ]
Kwan, Chung Min [1 ]
Chang, C. S. [1 ]
机构：
[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117548, Singapore
来源：
IEEE TRANSACTIONS ON POWER SYSTEMS | 2008年 / 23卷 / 03期
关键词：
decision-varying Markov model; minimum cut sets; multiobjective evolutionary algorithm; pareto front; substation maintenance;
D O I：
10.1109/TPWRS.2008.922637
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Reducing overall substation cost and improving reliability are the two prime but often conflicting objectives of electric power distribution. Proper scheduling of substation preventive maintenance provides an effective means to tradeoff between these two objectives. Decision-varying Markov models relating the deterioration process with maintenance operations is proposed to predict the availability of individual component. Minimum cut-sets method is employed to identify the critical components and evaluate the overall reliability of substation. A multiobjective evolutionary algorithm is proposed to optimize the two objectives to provide Pareto-fronts or tradeoff curves for a holistic view of the conflicting relationships between them. Through simulations, abilities of our proposed algorithm are demonstrated for robust search towards optimal solutions for large-size distribution.
引用
收藏
页码：1328 / 1335
页数：8
相关论文
共 50 条
  • [31] Incorporation of decision maker's preference into evolutionary multiobjective optimization algorithms
    Ishibuchi, Hisao
    Nojima, Yusuke
    Narukawa, Kaname
    Doi, Tsutomu
    GECCO 2006: GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, VOL 1 AND 2, 2006, : 741 - +
  • [32] Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces
    Lin, Qiuzhen
    Lin, Wu
    Zhu, Zexuan
    Gong, Maoguo
    Li, Jianqiang
    Coello Coello, Carlos A.
    IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2021, 25 (01) : 130 - 144
  • [33] Comparing interactive evolutionary multiobjective optimization methods with an artificial decision maker
    Bekir Afsar
    Ana B. Ruiz
    Kaisa Miettinen
    Complex & Intelligent Systems, 2023, 9 : 1165 - 1181
  • [34] Evacuation planning using multiobjective evolutionary optimization approach
    Saadatseresht, Mohammad
    Mansourian, Ali
    Taleai, Mohammad
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2009, 198 (01) : 305 - 314
  • [35] Fleet Mix Computation Using Evolutionary Multiobjective Optimization
    Mazurek, Michael
    Wesolkowski, Slawomir
    MCDM: 2009 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN MULTI-CRITERIA DECISION-MAKING, 2009, : 46 - +
  • [36] Multiobjective optimization using adaptive fuzzy/evolutionary algorithms
    Lee, MA
    Esbensen, H
    COMPUTERS AND THEIR APPLICATIONS - PROCEEDINGS OF THE ISCA 11TH INTERNATIONAL CONFERENCE, 1996, : 67 - 70
  • [37] Predicting DNA Motifs by Using Evolutionary Multiobjective Optimization
    Gonzalez-Alvarez, David L.
    Vega-Rodriguez, Miguel A.
    Gomez-Pulido, Juan A.
    Sanchez-Perez, Juan M.
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2012, 42 (06): : 913 - 925
  • [38] Optimization of a MEMS Accelerometer Using A Multiobjective Evolutionary Algorithm
    Pak, Murat
    Fernandez, Francisco V.
    Dundar, Gunhan
    2017 14TH INTERNATIONAL CONFERENCE ON SYNTHESIS, MODELING, ANALYSIS AND SIMULATION METHODS AND APPLICATIONS TO CIRCUIT DESIGN (SMACD), 2017,
  • [39] Satellite rendezvous tours using multiobjective evolutionary optimization
    Stodgell, Theodore R.
    Spencer, David B.
    ASTRODYNAMICS 2007, PTS I-III, 2008, 129 : 2069 - +
  • [40] Multiobjective RFID Network Optimization Using Multiobjective Evolutionary and Swarm Intelligence Approaches
    Chen, Hanning
    Zhu, Yunlong
    Ma, Lianbo
    Niu, Ben
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
12345